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Original file line number | Diff line number | Diff line change |
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model: | ||
target: sgm.models.diffusion.DiffusionEngine | ||
params: | ||
scale_factor: 0.13025 | ||
disable_first_stage_autocast: True | ||
|
||
denoiser_config: | ||
target: sgm.modules.diffusionmodules.denoiser.DiscreteDenoiser | ||
params: | ||
num_idx: 1000 | ||
|
||
weighting_config: | ||
target: sgm.modules.diffusionmodules.denoiser_weighting.EpsWeighting | ||
scaling_config: | ||
target: sgm.modules.diffusionmodules.denoiser_scaling.EpsScaling | ||
discretization_config: | ||
target: sgm.modules.diffusionmodules.discretizer.LegacyDDPMDiscretization | ||
|
||
network_config: | ||
target: sgm.modules.diffusionmodules.openaimodel.UNetModel | ||
params: | ||
adm_in_channels: 2816 | ||
num_classes: sequential | ||
use_checkpoint: True | ||
in_channels: 4 | ||
out_channels: 4 | ||
model_channels: 320 | ||
attention_resolutions: [4, 2] | ||
num_res_blocks: 2 | ||
channel_mult: [1, 2, 4] | ||
num_head_channels: 64 | ||
use_spatial_transformer: True | ||
use_linear_in_transformer: True | ||
transformer_depth: [1, 2, 10] # note: the first is unused (due to attn_res starting at 2) 32, 16, 8 --> 64, 32, 16 | ||
context_dim: 2048 | ||
spatial_transformer_attn_type: softmax-xformers | ||
legacy: False | ||
|
||
conditioner_config: | ||
target: sgm.modules.GeneralConditioner | ||
params: | ||
emb_models: | ||
# crossattn cond | ||
- is_trainable: False | ||
input_key: txt | ||
target: sgm.modules.encoders.modules.FrozenCLIPEmbedder | ||
params: | ||
layer: hidden | ||
layer_idx: 11 | ||
# crossattn and vector cond | ||
- is_trainable: False | ||
input_key: txt | ||
target: sgm.modules.encoders.modules.FrozenOpenCLIPEmbedder2 | ||
params: | ||
arch: ViT-bigG-14 | ||
version: laion2b_s39b_b160k | ||
freeze: True | ||
layer: penultimate | ||
always_return_pooled: True | ||
legacy: False | ||
# vector cond | ||
- is_trainable: False | ||
input_key: original_size_as_tuple | ||
target: sgm.modules.encoders.modules.ConcatTimestepEmbedderND | ||
params: | ||
outdim: 256 # multiplied by two | ||
# vector cond | ||
- is_trainable: False | ||
input_key: crop_coords_top_left | ||
target: sgm.modules.encoders.modules.ConcatTimestepEmbedderND | ||
params: | ||
outdim: 256 # multiplied by two | ||
# vector cond | ||
- is_trainable: False | ||
input_key: target_size_as_tuple | ||
target: sgm.modules.encoders.modules.ConcatTimestepEmbedderND | ||
params: | ||
outdim: 256 # multiplied by two | ||
|
||
first_stage_config: | ||
target: sgm.models.autoencoder.AutoencoderKLInferenceWrapper | ||
params: | ||
embed_dim: 4 | ||
monitor: val/rec_loss | ||
ddconfig: | ||
attn_type: vanilla-xformers | ||
double_z: true | ||
z_channels: 4 | ||
resolution: 256 | ||
in_channels: 3 | ||
out_ch: 3 | ||
ch: 128 | ||
ch_mult: [1, 2, 4, 4] | ||
num_res_blocks: 2 | ||
attn_resolutions: [] | ||
dropout: 0.0 | ||
lossconfig: | ||
target: torch.nn.Identity |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,99 @@ | ||
model: | ||
target: sgm.models.diffusion.DiffusionEngine | ||
params: | ||
scale_factor: 0.13025 | ||
disable_first_stage_autocast: True | ||
cond_stage_trainable: true # Note: different from the one we trained before | ||
|
||
denoiser_config: | ||
target: sgm.modules.diffusionmodules.denoiser.DiscreteDenoiser | ||
params: | ||
num_idx: 1000 | ||
|
||
weighting_config: | ||
target: sgm.modules.diffusionmodules.denoiser_weighting.EpsWeighting | ||
scaling_config: | ||
target: sgm.modules.diffusionmodules.denoiser_scaling.EpsScaling | ||
discretization_config: | ||
target: sgm.modules.diffusionmodules.discretizer.LegacyDDPMDiscretization | ||
|
||
network_config: | ||
target: sgm.modules.diffusionmodules.openaimodel.UNetModel | ||
params: | ||
adm_in_channels: 2816 | ||
num_classes: sequential | ||
use_checkpoint: True | ||
in_channels: 4 | ||
out_channels: 4 | ||
model_channels: 320 | ||
attention_resolutions: [4, 2] | ||
num_res_blocks: 2 | ||
channel_mult: [1, 2, 4] | ||
num_head_channels: 64 | ||
use_spatial_transformer: True | ||
use_linear_in_transformer: True | ||
transformer_depth: [1, 2, 10] # note: the first is unused (due to attn_res starting at 2) 32, 16, 8 --> 64, 32, 16 | ||
context_dim: 2048 | ||
spatial_transformer_attn_type: softmax-xformers | ||
legacy: False | ||
|
||
conditioner_config: | ||
target: sgm.modules.GeneralConditioner | ||
params: | ||
emb_models: | ||
# crossattn cond | ||
- is_trainable: False | ||
input_key: txt | ||
target: sgm.modules.encoders.modules.FrozenCLIPEmbedder | ||
params: | ||
layer: hidden | ||
layer_idx: 11 | ||
# crossattn and vector cond | ||
- is_trainable: False | ||
input_key: txt | ||
target: sgm.modules.encoders.modules.FrozenOpenCLIPEmbedder2 | ||
params: | ||
arch: ViT-bigG-14 | ||
version: laion2b_s39b_b160k | ||
freeze: True | ||
layer: penultimate | ||
always_return_pooled: True | ||
legacy: False | ||
# vector cond | ||
- is_trainable: False | ||
input_key: original_size_as_tuple | ||
target: sgm.modules.encoders.modules.ConcatTimestepEmbedderND | ||
params: | ||
outdim: 256 # multiplied by two | ||
# vector cond | ||
- is_trainable: False | ||
input_key: crop_coords_top_left | ||
target: sgm.modules.encoders.modules.ConcatTimestepEmbedderND | ||
params: | ||
outdim: 256 # multiplied by two | ||
# vector cond | ||
- is_trainable: False | ||
input_key: target_size_as_tuple | ||
target: sgm.modules.encoders.modules.ConcatTimestepEmbedderND | ||
params: | ||
outdim: 256 # multiplied by two | ||
|
||
first_stage_config: | ||
target: sgm.models.autoencoder.AutoencoderKLInferenceWrapper | ||
params: | ||
embed_dim: 4 | ||
monitor: val/rec_loss | ||
ddconfig: | ||
attn_type: vanilla-xformers | ||
double_z: true | ||
z_channels: 4 | ||
resolution: 256 | ||
in_channels: 3 | ||
out_ch: 3 | ||
ch: 128 | ||
ch_mult: [1, 2, 4, 4] | ||
num_res_blocks: 2 | ||
attn_resolutions: [] | ||
dropout: 0.0 | ||
lossconfig: | ||
target: torch.nn.Identity |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,100 @@ | ||
model: | ||
target: sgm.models.diffusion.DiffusionEngine | ||
params: | ||
scale_factor: 0.13025 | ||
disable_first_stage_autocast: True | ||
cond_stage_trainable: true # Note: different from the one we trained before | ||
|
||
denoiser_config: | ||
target: sgm.modules.diffusionmodules.denoiser.DiscreteDenoiser | ||
params: | ||
num_idx: 1000 | ||
|
||
weighting_config: | ||
target: sgm.modules.diffusionmodules.denoiser_weighting.EpsWeighting | ||
scaling_config: | ||
target: sgm.modules.diffusionmodules.denoiser_scaling.EpsScaling | ||
discretization_config: | ||
target: sgm.modules.diffusionmodules.discretizer.LegacyDDPMDiscretization | ||
|
||
network_config: | ||
target: sgm.modules.diffusionmodules.openaimodel.UNetModel | ||
params: | ||
adm_in_channels: 2816 | ||
num_classes: sequential | ||
use_checkpoint: True | ||
in_channels: 4 | ||
out_channels: 4 | ||
model_channels: 320 | ||
attention_resolutions: [4, 2] | ||
num_res_blocks: 2 | ||
channel_mult: [1, 2, 4] | ||
num_head_channels: 64 | ||
use_spatial_transformer: True | ||
use_linear_in_transformer: True | ||
transformer_depth: [1, 2, 10] # note: the first is unused (due to attn_res starting at 2) 32, 16, 8 --> 64, 32, 16 | ||
context_dim: 2048 | ||
spatial_transformer_attn_type: softmax-xformers | ||
legacy: False | ||
unfreeze_model: True | ||
|
||
conditioner_config: | ||
target: sgm.modules.GeneralConditioner | ||
params: | ||
emb_models: | ||
# crossattn cond | ||
- is_trainable: False | ||
input_key: txt | ||
target: sgm.modules.encoders.modules.FrozenCLIPEmbedder | ||
params: | ||
layer: hidden | ||
layer_idx: 11 | ||
# crossattn and vector cond | ||
- is_trainable: False | ||
input_key: txt | ||
target: sgm.modules.encoders.modules.FrozenOpenCLIPEmbedder2 | ||
params: | ||
arch: ViT-bigG-14 | ||
version: laion2b_s39b_b160k | ||
freeze: True | ||
layer: penultimate | ||
always_return_pooled: True | ||
legacy: False | ||
# vector cond | ||
- is_trainable: False | ||
input_key: original_size_as_tuple | ||
target: sgm.modules.encoders.modules.ConcatTimestepEmbedderND | ||
params: | ||
outdim: 256 # multiplied by two | ||
# vector cond | ||
- is_trainable: False | ||
input_key: crop_coords_top_left | ||
target: sgm.modules.encoders.modules.ConcatTimestepEmbedderND | ||
params: | ||
outdim: 256 # multiplied by two | ||
# vector cond | ||
- is_trainable: False | ||
input_key: target_size_as_tuple | ||
target: sgm.modules.encoders.modules.ConcatTimestepEmbedderND | ||
params: | ||
outdim: 256 # multiplied by two | ||
|
||
first_stage_config: | ||
target: sgm.models.autoencoder.AutoencoderKLInferenceWrapper | ||
params: | ||
embed_dim: 4 | ||
monitor: val/rec_loss | ||
ddconfig: | ||
attn_type: vanilla-xformers | ||
double_z: true | ||
z_channels: 4 | ||
resolution: 256 | ||
in_channels: 3 | ||
out_ch: 3 | ||
ch: 128 | ||
ch_mult: [1, 2, 4, 4] | ||
num_res_blocks: 2 | ||
attn_resolutions: [] | ||
dropout: 0.0 | ||
lossconfig: | ||
target: torch.nn.Identity |
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